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Objective: Mentoring and Professionalism in Training (MAP-IT), a humanistic mentorship program, has demonstrated positive impact in non-surgical fields. This study assesses the feasibility of implementing MAP-IT in surgical residency and adapts MAP-IT to include residents-as-teachers (RAT). We hypothesize that MAP-IT will benefit surgical residents by building humanistic teaching skills, increasing resilience, reducing burnout, and improving connectedness.
Design: MAP-IT was implemented monthly during protected educational time. Faculty surgeons who had previously completed MAP-IT served as facilitators. Small groups consisted of 12 trainees, two faculty facilitators, and one resident facilitator. Each session comprised 60 minutes of reflection, readings, and discussion surrounding humanistic mentoring skills. The Maslach Burnout Inventory-Human Services Survey (MBI-HSS), Connor Davidson Resilience Scale (CD-RISC), and Humanistic Teaching Practices Effectiveness Questionnaire (HTPE) were administered before and after participation in MAP-IT. Qualitative interviews and surveys assessed residents' perspectives of the MAP-IT program.
Setting: MAP-IT was implemented at Northwell-North Shore/LIJ in Manhasset, NY in a general surgery residency program hosted by two tertiary care hospitals within a large health system.
Participants: 55 residents participated as learners, five residents served as resident-facilitators, and 10 surgical faculty served as paired-facilitators of the MAP-IT course.
Results: 31.6% of residents had participated in a reflective medicine curriculum prior to MAP-IT, and these residents reported greater resilience and less burnout. This disparity was eliminated after participation in MAP-IT. Frequency of burnout was reduced from 64.1% to 46.1% after MAP-IT participation. Post-program, residents reported greater effectiveness in humanistic teaching practices when compared to baseline assessments. Quantitative and qualitative feedback demonstrated that MAP-IT was well received by resident participants and addressed a gap in their surgical training.
Conclusions: A humanistic mentorship program involving RAT can be effectively implemented in surgical residency, is well-received by residents, and addresses a need surgical training by building skills and improving resident well-being.
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http://dx.doi.org/10.1016/j.jsurg.2022.11.002 | DOI Listing |
Premature senescence is essential for tissue remodeling. Myocardial infarction (MI) induces pathological cardiac remodeling through fibroblast-driven extracellular matrix (ECM) production. The role of senescence in MI-induced remodeling process remains elusive.
View Article and Find Full Text PDFFront Public Health
June 2025
Department of Public Health, Federico II University of Naples, Naples, Italy.
Background: Obesity is a common, serious, and costly chronic disease of adults and children that poses serious long-term health risks. Recent global estimates from the World Health Organization (WHO) show that the number of adolescents living with overweight or obesity is now increasing in low- and middle-income countries, particularly in urban settings. Health interventions using information technology (IT), especially diet and activity tracking, can lead to significant reductions in weight status.
View Article and Find Full Text PDFBiometrics
April 2025
Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, 14620, United States.
In the framework of dynamic marginal structural models, regimen-response curve is a function that describes the relation between the mean outcome and the parameters in the class of decision rules. The modeling choice of the regimen-response curve is crucial in constructing an optimal regime, as a misspecified model can lead to a biased estimate with questionable causal interpretability. However, the existing literature lacks methods to evaluate and compare different working models.
View Article and Find Full Text PDFIEEE Trans Biomed Eng
May 2025
Objective: For patients with facial palsy, the wait for return of facial function and resulting vision risk from poor eye closure, difficulty speaking and eating from flaccid oral sphincter muscles, and psychological morbidity from the inability to smile or express emotions can be devastating. There are limited methods to assess ongoing facial nerve regeneration: clinicians rely on subjective descriptions, imprecise scales, and static photographs to evaluate facial functional recovery. We propose a more precise evaluation of dynamic facial function through video-based machine learning analysis to facilitate a better understanding of the sometimes subtle onset of facial nerve recovery and improve guidance for facial reanimation surgery.
View Article and Find Full Text PDFJ Comput Biol
September 2025
School of Information Science and Engineering, Yunnan University, Kunming, China.
Predicting the survival outcomes and assessing the risk of patients play a pivotal role in comprehending the microbial composition across various stages of cancer. With the ongoing advancements in deep learning, it has been substantiated that deep learning holds the potential to analyze patient survival risks based on microbial data. However, confronting a common challenge in individual cancer datasets involves the limited sample size and the high dimensionality of the feature space.
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